Crafting consensus in a culture of dominance. Engineer, nature lover, storyteller, artist, musician, scientist. Precision, responsibility, and creativity.
Charleston, SC
Joined February 2010
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father-abraham.eth retweeted
I find AI to be extremely knowledgeable, and so exceptionally able to detect references to almost anything, but not very wise, and so it only makes the most surface-level judgements about what point some writing is making.
This is particularly true when it's analyzing writing that it just read for the first time, as opposed to analyzing writing that's already in its training data (along with lots of analysis of that writing by other people)
AI's knowledgeableness is easier to see than its limited wisdom; it's perhaps even the very definition of wisdom that it cannot be easily verified (as opposed to intelligence).
father-abraham.eth retweeted
📣 The Defiant Exclusive
Stellar @StellarOrg just released Project Thruput, a separate network that runs every transaction in a block out of order, and charges no per-transaction fee.
7.M (up from 1.18M) payments per second, by adding seven machines to one validator.
Read more here:
thedefiant.io/news/blockchai…
father-abraham.eth retweeted
⚡️The United States is slowly selling its future policy freedom to finance the present.
Debt is usually discussed as a number. That misses the real object being accumulated.
Every additional trillion is a claim on future taxation, future growth, future monetary policy, future political choices, and future generations of output. The government receives purchasing power now and gives away degrees of freedom later.
At small scale, debt expands optionality.
At this scale, debt begins consuming it.
That is the phase change.
The state becomes progressively less able to tolerate outcomes that would otherwise be economically cleansing. High real rates become fiscally corrosive. Deflation becomes poisonous because nominal revenues fall against fixed liabilities. Deep recessions become harder to permit. Asset-price collapses threaten collateral, tax receipts, pensions and financial stability simultaneously.
So policy starts bending around the balance sheet.
That creates a hidden asymmetry:
The United States increasingly needs nominal expansion simply to preserve room to maneuver.
More GDP. More productivity. More asset value. More tax receipts. More monetary velocity. More technological output.
The machine must keep getting larger because the claims written against the future keep getting larger too.
That is why AI suddenly belongs inside the debt conversation.
If AI produces a genuine productivity discontinuity, it expands the economic substrate underneath the debt fast enough to restore breathing room.
If it does not, the adjustment migrates elsewhere.
Currency.
Real purchasing power.
Interest-rate suppression.
Financial repression.
Future taxation.
Some combination of those absorbs what real growth could not.
And that leads to the deepest implication:
The debt problem is ultimately a sovereignty problem.
A sovereign is supposed to control its choices.
But once enough future income has already been promised, the range of available choices narrows.
Eventually the government still appears sovereign legally while becoming increasingly governed economically by the need to preserve the system carrying its liabilities.
That is the inversion.
The debt no longer sits on the balance sheet.
The balance sheet starts writing policy.
father-abraham.eth retweeted
When the guy running the @NIH shows up to a decentralized science conference, people should pay attention. Big credibility moment for @ResearchHub and $RSC 🏆
father-abraham.eth retweeted
Kimi K3.1 is out; it is the #1 OSS model.
It places similarly to Opus 5, which was released 3 months ago. Thus, China is lagging the frontier by about 3 months.
The Kimi K3 release was #1 on Code Arena, at the time better than all US labs. K3.1 is close, but substantially off from Opus 5.5. On a performance vs cost-per-task basis, the combo of Sonnet 5.5 and DeepSeek V4.1 flash together dominate this model. The race is so tight!!!
Congrats to the Moonshot team on a great release. And now, back to work. The frontier never sleeps!
Big news: @Kimi_Moonshot is back in the top-4 labs in the Code Arena: WebDev with the release of Kimi K3.1 Pro!
This model just landed #8 in the Code Arena: WebDev with 1692 pts, matching Claude Opus-5 (Max) at 70% lower cost. This is a 9 place jump (+37 points) from Kimi K3 (Max) at #17 with 1655 pts.
Kimi K3.1 Pro improved from Kimi K3 across all categories. Highlights:
- #7 in Brand & Marketing (up from #9)
- #9 in Simulations (up from #20)
Cost efficiency is another upgrade. Priced at $2/$10 per million input/output tokens, Kimi K3.1 Pro (Max) has a median cost per task of $1.23 (29% less than Kimi K3). See its placement compared to the Pareto frontier in thread.
With open weights coming soon, Kimi K3.1 Pro would be the new #1 open model in the Code Arena: WebDev, overtaking DeepSeek-v4.1-Flash. Stay tuned!
See @Kimi_Moonshot’s ranking by lab, and 3D generations from Kimi K3.1 Pro below in thread.
Huge congrats to the @Kimi_Moonshot team on this release!
father-abraham.eth retweeted
I think we’ll see a lot more of this.
The attackers were going after the AI keys stored on Railway, because an API key is basically a credit card for compute now.
Every company running agents is sitting on a pile of these keys!
here’s the 10 minute fix. rotate every key tonight, set a hard monthly spend limit in each AI dashboard, give every agent its own key, and turn on usage alerts so you know the second something spikes.
someone should build the tool that finds every AI key a company has, rotates them every week and pings you when spend looks weird. charge $99 a month. every startup running agents needs it yesterday.
father-abraham.eth retweeted
they’re calling it “Black October” and i don’t think people realize how serious this is
in the last 48 hours there have been over 27 major cybersecurity incidents. not in a month. not in a week. in 48 hours
any ONE of these would normally be the biggest story of the year
PHP: critical vulnerability in the software running 80% of the web. severity 9.2 out of 10
Node.js: high-severity flaw letting attackers take over servers remotely. affects versions 22, 24, and 26
Java: also compromised. three of the most used programming languages on earth hit at the same time
GitLab: a perfect 10 out of 10 severity hole in every version since 2014
Railway: hosting platform compromised. API keys for OpenAI, Claude, Stripe potentially exposed
Signal: a bug that could leave your mic and camera on after you hang up
WordPress: hackers stole a plugin maker’s keys and planted backdoors on websites
LiteLLM: an AI tool downloaded 3.4 million times a day was poisoned with a password stealer
and that’s not even half the list
thousands of AI agent swarms are reportedly scanning and attacking vulnerable servers right now. automated. around the clock
security researchers are saying this might be the early stages of a global cyber incident that nobody fully understands yet
if you run a website, use cloud services, store API keys on hosting platforms, or use any software built on PHP, Node.js, or Java you are potentially affected
update everything. rotate your API keys. change your passwords on critical services. enable 2FA everywhere you haven’t already
this is not a normal week on the internet. this is something different
father-abraham.eth retweeted
We are two weeks away from the election and I’m seeing large accounts telling people to stay home…
I get it. You’re upset with the Republican Party and the Democratic Party, but the LAST thing you should do is sit this one out - let me explain why.
First of all, your local government is more important than your reps in DC. They have jurisdiction over your roads, sidewalks, water, parks, fire, police, permitting, ordinances, and so much more.
Secondly, many people have millage proposals on their ballot. Do you really want other people to determine if you should have a tax increase?
And finally, your vote matters. It may seem insignificant in federal elections, but local elections can be determined by just a few votes.
So only vote on the local matters if you need to, but please show up.
father-abraham.eth retweeted
The US affordability crisis is worsening:
Food prices have surged +34.5% since December 2019, now at their highest level on record.
Rent and grocery prices have risen +33.3% and +30.0%, respectively.
Furthermore, motor vehicle maintenance and repair prices have soared +55.2% over the same period.
Meanwhile, prices for services excluding rent, including medical care, transportation, education, communication, and recreation, have increased +29.2% since December 2019.
As a result, the Consumer Price Index (CPI) has risen +30.4%.
Basic necessities are becoming increasingly unaffordable in the US.
father-abraham.eth retweeted
This is a very cool (and totally weird!) model... all normal LLMs create text through token-by-token inference, printing out each word sequentially.
Diffusion text models like Mercury create the entire output simultaneously and then it appears at once (this is normally how image models work)
I don't understand it but it works FAST
father-abraham.eth retweeted
Access Mercury 3 on Venice.
venice.ai/models/mercury-3
father-abraham.eth retweeted
A man got fired from his job, was unemployed for 10 months, watched his savings crash 75%, and somehow built one of crypto's biggest exchanges.
> In July 2017, Siemens laid off Hayden Adams, a 24-year-old mechanical engineer.
> He had no software engineering career to fall back on.
> His friend Karl Floersch told him Ethereum was the future and convinced him to learn smart contract development.
> Hayden spent two months learning to code.
> Then Karl showed him an idea from Vitalik Buterin about how people could trade tokens without a traditional exchange matching buyers and sellers.
> Hayden started building a prototype. Called it Uniswap.
> By April 2018, he'd been unemployed for 10 months and the crypto he was living on had lost over 75% of its value.
> Most people would've started looking for another job.
> Hayden booked a flight to South Korea to attend a crypto conference.
> He didn't even have a ticket to the event and was turned away at the entrance.
> Then he ran into Karl, who introduced him to Vitalik Buterin.
> Vitalik pulled out his phone and read Hayden's smart contract right there.
> He adviced him to apply for an Ethereum Foundation grant.
> Hayden applied and got the grant which was valued at around $100,000 on paper.
> After $ETH's price dropped, its actual value was closer to $55,000–$60,000.
> He kept building.
> On November 2, 2018, Uniswap launched on Ethereum.
> Today, it's one of the most important decentralized exchanges in crypto, allowing people to trade tokens without relying on a traditional centralized exchange.
A man lost his job, watched his savings collapse, and built one of crypto's biggest financial platforms.
Imagine if he'd just updated his CV and moved on.
father-abraham.eth retweeted
Republics and democracies fall, inevitably, because they enable the masses to vote for benefits from the state.
The charade of "free" stuff pulls, slowly or swiftly, the state into fiscal insolvency. Debt grows faster than the economy, which is mathematically unsustainable.
This process can be slow, or fast, but always occurs.
The best imperfect solution is to keep states both small and decentralized. Small so that the masses have less incentive and capability to draw from it, and decentralized so that failures of a state are localized and minimized rather than global and catastrophic. A well-educated populace that understands the virtue of markets and views the state with utmost skepticism is very helpful, and just as rare.
America until the 1930's did a good job of this. Switzerland today arguably still does.
America and France, and most or all of the others, are headed to the same destination. Voting will not change the game theory of the system (remember how Trump was going to reduce the government and then grew it larger than Biden?).
European and US bond markets will collapse and then these protests will look like child's play.
There is nothing that can be done to prevent it, nothing stops this train, alea iacta est
Optimists should hope and work for the smallest states possible to rise from the ashes of the large ones.
father-abraham.eth retweeted
For anyone using OpenCode:
Stop. Switch to Morpheus.
mordiem.com
father-abraham.eth retweeted
Dear Secretary Bessent @SecScottBessent,
My name is Everett Stern. In 2010 I was a compliance officer at @HSBC. From a back office in New Castle, Delaware, I watched billions of dollars move to drug cartels, sanctioned regimes, and terrorist organizations. The enemies of the United States. I documented it, I escalated it, and when the bank would not act, I took it to the @FBI, the @CIA, and eventually the @SECGov.
The result was a $1.92 billion settlement. At the time, it was one of the largest in American history. It was also about five weeks of the bank’s profit. Not one banker was charged. Not one went to prison.
I paid a different price. I lost my career, my savings, and my place in the industry I had trained for. I was blacklisted. Every door in American finance closed at once. I slept on a camping cot in a 300 square foot apartment because I could not afford a bed, and I waited tables at @PFChangs to eat. I tell you this not for sympathy, but so you understand that I know exactly what it costs to do the right thing in American finance, and exactly how little the system does in return.
I made that sacrifice because I believed it would change something.
Yesterday, your department fined @BankofAmerica $1.2 billion for failing to report more than $5 billion in suspicious transactions, some of it tied by your own findings to Chinese laundering networks, narcotics, and the southwest border, alongside 475 apparent sanctions violations touching Russia, Iran, and global terrorism. The bank admitted it willfully violated the Bank Secrecy Act.
Fourteen years after HSBC. A bank with “America” in its name. And once again, not one individual charged.
Secretary Bessent, I want to say plainly what I believe you already know. The fines are not working.
A fine is paid by shareholders, absorbed by the balance sheet, and forgotten by the next earnings call. Bank of America reported earnings this morning. Nobody who set the alert thresholds, nobody who decided the 2024 cease and desist could wait, nobody who chose the backlog over the law will lose a single thing they value. Their lives are untouched. That is the entire reason the behavior repeats.
This is money laundering. This is blood money. Money that reaches a cartel buys fentanyl that kills Americans. Money that reaches a terrorist organization buys the next attack. This country has fought a war on drugs and a war on terror for decades, at enormous cost in lives and treasure, and all the while we have allowed the financing to flow through institutions we charter and regulate. Cut off the money and we win. We have never seriously tried.
There is also a question of equal justice that I cannot let go.
Before I walked into the FBI building to report HSBC, I stopped in front of the Great Seal on the wall and read the words engraved beneath it: “Justice is the defense of our liberty.” I believed that. I still want to. But every day in this country, people go to prison for crimes that are nothing next to moving money for the people who want Americans dead. A suit, a title, and a corporate badge should not be a shield from the consequences that apply to everyone else. If a street dealer goes to prison for what he sells, the banker who moved the cartel’s money should be standing next to him.
I also want to raise something that is rarely said in these conversations. Why has no one inside Bank of America come forward the way I did? The answer is that everyone in American banking knows what happened to me, and to the whistleblowers who came after. The last person who spoke up is the only policy anyone believes. That is a culture problem, and it starts with leadership, in the banks and in the agencies that regulate them.
This is not a political issue. It has spanned administrations of both parties. It is a national security issue, and I am asking you to treat it as one.
Three things would change the math overnight.
Refer individuals for criminal prosecution. Not the analyst in the queue. The executives who set the thresholds and chose the risk. One banker in handcuffs would do more than every fine in Treasury’s history combined.
End “too big to jail.” An institution cannot be too big to fail and too big to jail at the same time. If it is the first, it must be held to a higher standard, not a lower one.
And if Bank of America will not act as America’s bank, review its charter. A national charter is a privilege granted on behalf of the American people. It should be conditioned on not moving money for the people trying to kill them.
Secretary Bessent, you said yesterday that these actions send a clear message that even the biggest institutions are not above the law. With respect, the institution was never the problem. The people inside it are above the law, and they know it. Until that changes, I will keep writing letters like this one, and the next bank will keep paying the next fine.
I gave up everything I had to stop this. I am asking you to use the power you have to finish it.
Respectfully,
Everett A. Stern
HSBC Whistleblower
Founder and Intelligence Director, Tactical Rabbit
father-abraham.eth retweeted
BANKS ARE THE BIGGEST MONEY LAUNDERERS ON THE PLANET. JPMORGAN TOLD THE SENATE IT'S SOMEONE ELSE.
Not one of their CEOs went to prison.
In 2020, 2,100 leaked bank reports showed the banks themselves flagging over $2 trillion in suspicious money between 1999 and 2017. They moved it anyway.
Here's what they've owned up to.
TD Bank left 92% of its transactions unmonitored for six years. $18.3 trillion. Pleaded guilty.
Wachovia, now Wells Fargo, failed to monitor $420 billion from Mexican currency exchanges. Fine: $160 million.
About $200 billion ran through a single Danske Bank branch in Estonia, much of it suspicious. Pleaded guilty.
BNP Paribas moved $8.8 billion for Sudan, Iran and Cuba. Pleaded guilty.
Standard Chartered was accused of hiding $250 billion in Iran deals from New York regulators. Settled.
Deutsche Bank let $10 billion slip out of Russia through "mirror trades".
HSBC moved at least $881 million in drug money.
JPMorgan kept Jeffrey Epstein as a client until 2013, five years after his conviction. It reported over $1 billion of his transactions as suspicious. A month after he died.
And this Tuesday, Bank of America admitted it willfully broke anti-money laundering law. Over $5 billion in suspicious transactions it didn't report on time. Treasury says it "prioritized its revenues." Fine: $1.2 billion. Profit that quarter: $6.9 billion.
The US Attorney General said it out loud in 2013. Some banks are so big "it does become difficult to prosecute them."
That's Jamie Dimon in the video, at the Senate in 2023. Watch who he blames.
Deposit more than $10,000 in cash and your bank reports you to the government.
Let $18.3 trillion go unchecked and you get a fine.
Two sets of rules. Guess which one you're on.
father-abraham.eth retweeted
At Self Labs, we’ve been using agents since day one
Our agentic web identity & privacy stack is already used by companies like Google
Today we're launching the missing piece: Agent Vault, a secure way for agents to log in & make credit card payments
Superpowers for your agents
father-abraham.eth retweeted
I spent 48 hours in SF hanging out with billionaires, data labs and AI founders and execs running $1B to $100B companies.
My observations:
1. Sooo MANY stories of data brokers making like $2M a WEEK selling company data to labs. I can't tell if it's the beginning or a bubble, and I kept wondering which niches are left. Digging into it actively.
2. At dinner, someone asked the table, "If a new model drops next month, does your company get better or worse?" HALF the table went quiet! I think that's the best question to ask about any AI startup right now.
3. The bar people talk about now is hitting $1B in revenue in 12 months (I guess that's the new unicorn?). What I didn't hear much about is retention. AI revenue can come in fast and leave fast, and I think we're going to see a lot of stories of AI companies with huge revenue and terrible retention.
4. It's pretty clear we're living through the reinvention of the computer. The model is the CPU, the harness is the operating system, and skills and plugins are the apps. Thinking about it that way makes it easier to see where the whitespace is.
5. We're maybe 12 months from an agent that can watch you work for a week and then do your job without any instructions. The screen recording plus agent memory plus local model combination makes this possible right now.
6. Agent harnesses feel like the new GPT wrappers, in a good way, especially vertical ones. The best teams I talked to treat the model as swappable. One founder walked me through routing different models to different jobs: one for taste and visuals, a cheaper one for the everyday stuff, another for text.
They use prompts they can move across models over fine-tuning, and A/B test the output on what users actually do with it: do they edit it, export it, share it? A vertical harness is basically four things: the connectors for that industry's data, evals written by people who know the work, rules for what the agent can and can't touch, and a clean screen for a human to review. The model is maybe 20% of it.
7. There's a lot of reverse engineering going on/cloning going on more than I've ever seen. People are decompiling software and rebuilding it with agents, and someone showed a suite of like 10 apps that are worth $5B+ each all that he cloned open source. Me and everyone are still thinking through what it means when software gets this easy to copy.
8. My guess is the value moves to data. If the software can be rebuilt quickly, what's worth paying for in a legacy SaaS company is the years of customer data and workflows inside it. Some SaaS companies are secretly data companies.
Gets me thinking about how do you truly value data for this saas companies? Like if we were buying these dying saas companies at 2x ARR before (as example), maybe there is a better metric. Idk, just thinking out loud here.
9. It feels like a good chunk of legacy software won't make it to the agentic era, especially anything built around people clicking through a lot of screens.
10. Every company I talked to wants to pipe its internal data into one place and expose it to agents through MCP. Then they look at the data and realize it's a mess: five versions of the same customer, old Slack channels, PDFs nobody can search. Cleaning that up feels like a big consulting opportunity!
11. A lot of founders are building the basic building blocks for agents: APIs, data layers and tools. Some of the companies I saw barely have a UI because the main user is an agent. I really believe the startups that build primitives to this agentic era will do extremely well. Building blocks is the best way to think about it.
12. Labs can get plenty of training data, but it's harder to get real examples of agents failing inside companies. Whoever has those logs has something valuable.
13. Someone running a big consumer company told me the next fight is over memory. The model that remembers the most about you wins, and the smartest model matters less than people think.
14. Physical AI came up a lot. Astra I think was the first model that got people into AI can actually do CAD, and I think a lot of people are thinking what does vibe manufacturing really look like. The line I keep thinking about came from a robotics founder: the hardest problems in AI are deployment problems now, not research problems. Their robots work on their own, call a human when they get stuck, and every one of those calls becomes training data.
15. Cybersecurity companies are having a moment and are actually cool companies to build now, especially the ones that clean up after a breach. Every agent with access to your systems is a new door into your company, and a lot of those doors were left open.
16. Some startups are worth more dead than alive now. A shutdown company with 5 years of Slack, email and code can get paid for licensing all of it. I wouldn't be surprised if founders start factoring that into when they shut down.
17. People are starting to talk about monetizing the agent web. It feels really early, but when the most popular user of the internet is an agent, what startups should you be building?
18. I think agent insurance is coming. Once an agent makes an expensive mistake, insurers will want audits before they cover anyone.
19. Several people said the hire they want most is someone with taste who can write evals. The models are getting good at generating ideas, so the hard part is judging which ones are good.
20. New trend I observed: startup raises VC, uses venture dollars to become a creator, startup fails, founder falls back on being a full-time creator and incubates other products bootstrapped.
21. Getting SIGNIFICANT distribution is HARD right now. Founders are sponsoring buses, buying billboards like crazy and throwing parties with famous DJs to get noticed. Kinda feels dotcom era in that sense.
Attention is what's scarce! The growth guy going viral sharing his UGC strategy from Wispr Flow is a good example. It's the sauce everyone wants, and I truly believe there are probably only 50 people on the planet who know how to scale these types of businesses efficiently in this era.
Always good to get that dose of SF. I felt sooo lucky to have such an incredible trip during such an incredible time in building businesses. Surreal in so many ways.
Happy to be home and locked in.
Until next time!
father-abraham.eth retweeted
My biggest takeaways from @JoshWoodward (Head of @Google Labs, the Gemini App, and Google AI Studio)
1. The best ideas almost never come from a design sprint or brainstorm. At Google Labs, the ideas that became NotebookLM, Google Flow, Google Beam, and AI Studio all started with small groups of people who were obsessed with an insight and couldn’t stop themselves from building. These ideas surfaced in the shower, over a weekend, in a hallway. The implication for teams everywhere is that the environment matters more than the process. “You cannot microwave a good idea.”
2. Fall in love with the problem, not the product. Most ideas require three, four, or five significant pivots before they either find traction or get shut down. Teams that get hooked on a specific solution will struggle to make those pivots. Teams that are attached to the problem—the underlying pain point or the user behavior they are trying to shift—can keep adjusting until they get it right.
3. When looking for early PMF, data and retention are important, but the strongest signal of PMF is in people’s eyes. Do they light up? Do they lean in? When you show someone a prototype and they’re genuinely engaged, you feel it. When NotebookLM’s first AI podcast demo was played in a hallway, the reaction was immediate and unmistakable.
4. Keep a list of what is “almost possible,” and move fast when something crosses over. Google Labs keeps a live list of experiences that are almost possible. When something crosses the threshold, Josh describes it as “a phase shift,” like solid to gas, and the team moves immediately. Maintain a running list of things that are almost ready, and have a team positioned to sprint when one of them arrives.
5. Every company needs to think like a labs team now. The underlying technology is changing so fast that what’s possible is shifting from week to week. Which means that every company needs to be spending time playing with the latest models, running far-out experiments, and being first to discover what they unlock before the competition does—and then bringing those discoveries to the rest of the org.
6. When something is not working, the team almost always knows before the leader does. Josh’s instinct as a leader is not to be the one who decides to shut down a project. He watches instead for the passion running out, for the sense that the team has tried everything and nothing is working. His goal is to create an environment where people feel safe enough to say, “I don’t think this is working.”
7. Someone’s “unlearning rate” is one of the most valuable skills right now. Everyone talks about growth mindset and learning speed. Josh is watching for something different: How quickly can someone take an insight, validate or invalidate it through testing, and then let it go? The ability to walk away from a prior belief or approach when the evidence says you should is rare and becoming more valuable.
8. Roles are not blurring into one universal “builder” role. There is a tendency in the current moment to talk as though everyone is becoming a generalist builder. Josh thinks this would be a bad idea. The best people on his teams still have a primary specialty—a major—and also a “minor” they’ve developed. The advice he gives to early-career PMs who are excited about vibe coding and prototyping is clear: build adjacent skills in service of becoming an exceptional PM, not as a replacement for it.
9. A well-designed lab needs isolation, a clear mission, and the ability to create “good trouble.” Three things matter when setting up an internal labs team. First, it needs structural independence, reporting far enough from existing business units that weird ideas can survive long enough to prove themselves. Second, the lab’s mandate has to be explicit: are you graduating ideas to existing products, or inventing new categories? Clarity on that question changes almost every decision. Third, the lab should be a place to challenge how the company itself works, not just what it builds. At Google Labs, that included piloting new job ladders and builder roles before rolling them out more broadly.
10. Google Labs manages the marathon-sprint tension through seasons. At any given time, roughly 20 to 30 experiments are running in parallel, but individual teams experience a defined rhythm: sprints, post-launch recovery, and open exploration periods. After Google I/O each year, many labs teams enter a mode that looks unproductive from the outside: no shipping, just hacking, building, and discovering. Josh treats this as the seedbed for the next season.
Every company needs to think and operate like a labs team now.
What’s possible changes every few months, and to stay ahead, you need to be experimenting at the frontier.
Here's my conversation with @JoshWoodward, Head of @GoogleLabs, the @GeminiApp, and @GoogleAIStudio.
We discuss:
🔸 What skills are rising fastest in value right now
🔸 Where the best ideas actually come from
🔸 How to recognize PMF early
🔸 Why you should keep a list of what’s ‘almost possible’
🔸 Three rules for standing up an internal labs team
Listen now 👇
youtu.be/3I6QYkccd3o
